About This Opportunity

Are you a data scientist or machine learning engineer who enjoys solving real-world problems by applying cutting edge Gen AI/ML algorithms? Are you passionate about working with customers to solve their business challenges? Can you explain complex machine learning concepts in simple business terms? If the answer is “yes”, then we are looking for you!

As a Field Technologist you will become an integral part of the North American Solutions Engineering team responsible for working with a wide range of customers and prospects across multiple industries and verticals.

You will be responsible for technical activities required to support attainment of new and expansion revenue for the business. As part of that, you will be a key technical advisor to H2O.ai customers and prospects:

• Becoming a trusted advisor and go to resource of all technical Gen AI/ML challenges
• Providing machine learning expertise to help customers solve their business challenges
• Designing and selling value-based AI solutions that address customer needs and leverage Cloud native technologies for scalability and efficiency

What You Will Do

• Be the trusted data science advisor for our prospects, customers and partners.
• Own account-related technical items and relationships - account planning, project management, and solution design 
• Communicate effectively with internal and externally stakeholders to a diverse audience, including: engineers, business people, partners and executives to demonstrate thought leadership. Audiences will be large and small, and interactions will be in-person and online. 
• Translate business use cases and requirements into value based technical solutions through the architecture of machine learning workflows and systems from data ingestion to model deployment
• Demonstrate machine learning solutions with engaging storytelling and technical accuracy
• Create, design, and deliver compelling presentations on complex and technical concepts
• Lead successful proof of values and concepts
• Keep track of customer projects and provide technical support for successful delivery whenever necessary 

What We Are Looking For 

• Bachelor’s or a higher degree in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience
• Minimum of 3-5 years of relevant experience working in the field of Gen AI/ML, preferably in a customer facing role
• Strong knowledge of Python programming and familiarity with various data munging and machine learning libraries is required
• Consultative selling experience is an asset
• In depth understanding of machine learning algorithms and experience applying Gen AI/ML to solve real work problems, including deployment of end to end ML pipelines
• Experience with Cloud platform architectures (AWS, Azure, GCP) and working knowledge of Kubernetes
• Excellent verbal and written communication skills
• Self-starter, able to work without any supervision
• Comfortable with traveling up to 25å%

Why H2O.ai?

• Market Leader in Total Rewards
• Remote-Friendly Culture
• Flexible working environment
• Be part of a world-class team
• Career Growth

H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis.

H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. 

H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose.